Search Results - "Jing, Shibo"

A robust extreme learning machine framework for uncertain data classification by Jing, Shibo, Yang, Liming

“…Uncertain or missing data may occur in many practical applications. A principled strategy for handling this problem would therefore be very useful. We consider…”
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Multi-source coordinated low-carbon optimal dispatching for interconnected power systems considering carbon capture by Sun, Jiawen, Hua, Dong, Song, Xinfu, Liao, Mengke, Li, Zhongzhen, Jing, Shibo

“…The overall electricity consumption of electrolytic aluminum and ferroalloy loads is significant, and some of these loads have dispatch potential that can be…”
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Research on Ability of Clean Energy Consumption of Electric Heating in Northern Areas by Rui, Luo, Ming, Gao, Taiping, Guo, Weiwei, Chen, Shibo, Jing

“…With the country’s vigorous promotion of clean heating in the north, clean energy heating is becoming a trend. Using clean energy for heating can not only…”
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Peptide and non-peptide HIV fusion inhibitors by Jiang, Shibo, Zhao, Qian, Debnath, Asim K

“…Fusion of the HIV envelope with the target cell membrane is a critical step of HIV entry into the target cell. The HIV envelope glycoprotein gp41 plays an…”
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E-TRGAN: A Novel Transformer Generative Adversarial Network for High-Density Surface Electromyography Signal Reconstruction by Zhao, Yongkun, Jing, Shibo, Wu, Haijun, Li, Honghan, Todoh, Masahiro

“…This study presents a novel method to tackle the difficulties in high-density surface electromyography (HD-sEMG) signal reconstruction: the electromyographic…”
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Selective ensemble of uncertain extreme learning machine for pattern classification with missing features by Jing, Shibo, Wang, Yidan, Yang, Liming

“…Ensemble learning is an effective technique to improve performance and stability compared to single classifiers. This work proposes a selective ensemble…”
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Enhancing the Prediction of Locomotion Transition with High-Density Surface Electromyography by Jing, Shibo, Huang, Hsien-Yung, Jouaiti, Melanie, Zhao, Yongkun, Yu, Zhenhua, Vaidyanathan, Ravi, Farina, Dario

“…Prediction of transition between locomotion modes (e.g. moving from flat ground to stairs, etc) is vital for optimal interface with lower limb assistive…”
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Delayed reinforcement learning converges to intermittent control for human quiet stance by Zhao, Yongkun, Hodossy, Balint K., Jing, Shibo, Todoh, Masahiro, Farina, Dario

“…•Explored neural control of human quiet stance using reinforcement learning.•Found intermittent, not continuous, neural control in optimal strategies.•Delayed…”
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Leveraging High-Density EMG to Investigate Bipolar Electrode Placement for Gait Prediction Models by Hodossy, Balint K., Guez, Annika S., Jing, Shibo, Huo, Weiguang, Vaidyanathan, Ravi, Farina, Dario

“…To control wearable robotic systems, it is critical to obtain a prediction of the user's motion intent with high accuracy. Surface electromyography (sEMG)…”
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A comprehensive sensorimotor control model emulating neural activities for planar human arm reaching movements by Zhao, Yongkun, Zhang, Mingquan, Wu, Haijun, Jing, Shibo, Zhou, Tianyu, Todoh, Masahiro

“…Functional Electrical Stimulation (FES) has demonstrated potential in clinical applications, but determining the optimal electrical current to stimulate…”
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A minimax probability extreme machine framework and its application in pattern recognition by Yang, Liming, Yang, Boyan, Jing, Shibo, sun, Qun

“…In this work we propose a minimax probability extreme learning machine framework (MPME), which combines the benefits of minimax probability machine (MPM) with…”
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Accurate and Robust Locomotion Mode Recognition Using High-Density EMG Recordings from a Single Muscle Group by Jing, Shibo, Huang, Hsien-Yung, Vaidyanathan, Ravi, Farina, Dario

“…Existing methods for human locomotion mode recognition often rely on using multiple bipolar electrode sensors on multiple muscle groups to accurately identify…”
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Research on Power System Operation Simulation Model Considering Energy Storage and New Energy Generation by Jing, Shibo, Yu, Zhiyong, Chen, Weiwei, Xue, Jingjie, Xin, Chaoshan, Zhang, Shuming

“…At present, most stochastic production simulation algorithms can not consider large-scale new energy, and there are many deficiencies in the stochastic…”
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Design and detection of hardware Trojan based on satisfiability don't cares by WU Lingjuan, ZHU Jiacheng, TANG Shibo, TAN Jing, HU Wei

“…Hardware Trojans are intended malicious design modifications to integrated circuits, which can be used to launch powerful low-level attacks after being…”
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